Stochastic Modeling and Computational Statistics, Fall 2015
Penn State Department of Statistics
This seminar and discussion series will be held Fridays 10:10am-11:10am (note the new timings) in Thomas 327.

Guidelines:
  1. 40 minutes for each talk + 20 minutes for discussion.
  2. The talk should be accessible to all grad students who have completed 1 year of the program.
  3. Informal style. For instance, chalk and blackboard talks are welcome.
  4. Interruptions during the talk are welcome but they should only be for clarifications; longer questions are to be left to the discussion period.
  5. Unpublished work may not be shared or discussed outside the group without the permission of the speaker/author.
  6. While a large proportion of the talks may be related to stochastic modeling and computing, a much broader list of topics have also been discussed in this series.
Date Speaker Topic
August 28 Runze Li Projection Test for High-Dimensional Mean Vectors with Optimal Direction
September 4 no seminar
September 11 Sara Jamshidi, Department of Mathematics An automatable model of human-inspired reasoning for object classification
September 18 Bharath Sriperumbudur Density estimation in infinite dimensional exponential families
September 25 Jason Miller, Biochemistry and Molecular Biology Characterization of Genome-wide RNA-protein interactions
October 2 Gabriel Caceres, Astronomy Searching for periodic signals in autoregressive noise
October 9 Guido Cervone, Geography PhotoVoltaic Power Forecasts Using Artificial Neural Networks and an Analog Ensemble
October 16 Wanghuan Chu Feature screening for ultrahigh dimensional longitudinal data
October 23 Giovanni Felici, Istituto di Analisi dei Sistemi ed Informatica, Italian National Research Council, Rome Integer Programming models for feature selection and supervised learning
October 30 Kate Zipp, Environmental and Resource Economics, Penn State The Social-Ecological Dynamics of Aquatic Species Invasions on a Lake-Rich Landscape
November 6 Eliana Christou Single Index Quantile Regression for Heteroscedastic Data
November 13 Shantenu Jha, Electrical and Computer Engineering, Rutgers University Towards the Science of Cyberinfrastructure
November 20 No talk (day before Thanksgiving break)
November 27 Thanksgiving break
December 4 Zoltan Szabo from Gatsby Unit, University College London Optimal rates for random Fourier features


Previous SMAC talks